LEADER 02262nam 2200541 a 450 001 9910456280303321 005 20200520144314.0 010 $a0-7983-0233-X 035 $a(CKB)2520000000007528 035 $a(EBL)3001528 035 $a(SSID)ssj0000484054 035 $a(PQKBManifestationID)11332394 035 $a(PQKBTitleCode)TC0000484054 035 $a(PQKBWorkID)10573225 035 $a(PQKB)10197240 035 $a(MiAaPQ)EBC3001528 035 $a(Au-PeEL)EBL3001528 035 $a(CaPaEBR)ebr10370269 035 $a(OCoLC)647885836 035 $a(EXLCZ)992520000000007528 100 $a20081201d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aElectoral process and the prospects for democracy consolidation$b[electronic resource] $econtextualising the African multiparty elections of 2004 /$fedited by Korwa G. Adar, Abdalla Hamdok and Joram Rukambe 210 $aPretoria, South Africa $cAfrica Institute of South Africa$d2008 215 $a1 online resource (154 p.) 300 $aDescription based upon print version of record. 311 $a0-7983-0210-0 320 $aIncludes bibliographical references. 327 $a""Front Cover""; ""Title Page""; ""Copyright Page""; ""Contents""; ""About the Editors""; ""About the Contributors""; ""Introduction""; ""Chapter One. The Algerian Electoral Process""; ""Chapter Two. The 2004 Presidential Election in Cameroon""; ""Chapter Three. The 2004 General Elections in Ghana""; ""Chapter Four. Consolidating Malawi's Democracy""; ""Chapter Five. The 2004 General Election in Mozambique""; ""Chapter Six. The 2004 General Election in South Africa""; ""Conclusion""; ""Back Cover"" 606 $aElections$zAfrica 606 $aDemocracy$zAfrica 608 $aElectronic books. 615 0$aElections 615 0$aDemocracy 701 $aAdar$b Korwa G$g(Korwa Gombe),$f1949-$0910129 701 $aHamdok$b Abdalla$0910130 701 $aRukambe$b Joram$0910131 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456280303321 996 $aElectoral process and the prospects for democracy consolidation$92037058 997 $aUNINA LEADER 03781oam 2200745I 450 001 9910961934303321 005 20230124184441.0 010 $a1-04-020973-4 010 $a0-429-14892-5 010 $a1-283-00454-2 010 $a9786613004543 010 $a1-4398-1259-4 024 7 $a10.1201/b10515 035 $a(CKB)2560000000055632 035 $a(EBL)665580 035 $a(OCoLC)746925664 035 $a(SSID)ssj0000482809 035 $a(PQKBManifestationID)11344282 035 $a(PQKBTitleCode)TC0000482809 035 $a(PQKBWorkID)10526507 035 $a(PQKB)10751649 035 $a(Au-PeEL)EBL665580 035 $a(CaPaEBR)ebr10446295 035 $a(CaONFJC)MIL300454 035 $a(OCoLC)1287179940 035 $a(FINmELB)ELB158185 035 $a(MiAaPQ)EBC665580 035 $a(EXLCZ)992560000000055632 100 $a20180331d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial neural networks in biological and environmental analysis /$fGrady Hanrahan 205 $a1st ed. 210 $aBoca Raton, Fla. $cCRC Press$d2011 210 1$aBoca Raton, Fla. :$cCRC Press,$d2011. 215 $a1 online resource (206 p.) 225 1 $aAnalytical chemistry series 300 $aDescription based upon print version of record. 311 08$a1-4398-1258-6 320 $aIncludes bibliographical references and index. 327 $aFront cover; Dedication; Contents; Foreword; Preface; Acknowledgments; The Author; Guest Contributors; Glossary of Acronyms; Chapter 1. Introduction; Chapter 2. Network Architectures; Chapter 3. Model Design and Selection Considerations; Chapter 4. Intelligent Neural Network Systems and Evolutionary Learning; Chapter 5. Applications in Biological and Biomedical Analysis; Chapter 6. Applications in Environmental Analysis; Appendix I: Review of Basic Matrix Notation and Operations; Appendix II: Cytochrome P450 (CYP450) Isoform Data Set Used in Michielan et al. (2009) 327 $aAppendix III: A 143-Member VOC Data Set andCorresponding Observed andPredicted Values of Air-to-Blood Partition CoefficientsColor Insert; Back cover 330 $aDrawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of artificial neural networks (ANNs) in modern environmental and biological analysis. Based on our knowledge of the functioning human brain, ANNs serve as a modern paradigm for computing. Presenting basic principles of ANNs together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists comprehend the power of the ANN model to explain physical concepts and demonstrate complex natural processes--$cProvided by publisher. 410 0$aAnalytical chemistry series. 606 $aArtificial intelligence$xBiological applications 606 $aBiology$xData processing 606 $aEnvironmental engineering$xData processing 606 $aNeural networks (Computer science)$xScientific applications 615 0$aArtificial intelligence$xBiological applications. 615 0$aBiology$xData processing. 615 0$aEnvironmental engineering$xData processing. 615 0$aNeural networks (Computer science)$xScientific applications. 676 $a570.285/63 686 $aMAT029000$aSCI013000$aSCI013010$2bisacsh 700 $aHanrahan$b Grady.$0759227 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910961934303321 996 $aArtificial neural networks in biological and environmental analysis$94398139 997 $aUNINA